Name
Title | ||
|---|---|---|
Automatic Parameter Selection for Intensity-Based Registration of Imagery to LiDAR Data. |
Abstract | ||
|---|---|---|
Automatic registration of multisensor data, for example, imagery and Light Detection And Ranging (LiDAR), is a basic step in data fusion in the field of geospatial information processing. Mutual information (MI) has recently attracted research attention as a statistical similarity measure for intensity-based registration of multisensor images in the related fields of computer vision and remote sen... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2016.2594294 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Probability density function,Laser radar,Entropy,Estimation,Reliability,Three-dimensional displays,Feature extraction | Data set,Similarity measure,Bin,Remote sensing,Geometric transformation,Artificial intelligence,Computer vision,Pattern recognition,Sensor fusion,Smoothing,Mutual information,Mathematics,Image registration | Journal |
Volume | Issue | ISSN |
54 | 12 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebadat G. Parmehr | 1 | 2 | 1.39 |
| Clive Simpson Fraser | 2 | 1 | 0.36 |
| Chunsun Zhang | 3 | 1 | 1.03 |